Bitcoin Magazine
Benchmark Raises Hut 8 Price Target After Bitcoin Miner Signs $9.8 Billion AI Data Center Deal
Investment bank Benchmark has raised its price target on Bitcoin miner Hut 8 following news that the company had signed a second 15-year lease worth $9.8 billion for its AI data center.
Equity research analyst Mark Palmer reiterated his “buy” rating on the Toronto- and Nasdaq-listed miner in a note Wednesday, raising its price target to $195, up from $165 — an 80% upside from Hut 8’s current share price of nearly $110 a pop.
Palmer argued that the deal validates Hut 8’s “power-first” approach to building out AI infrastructure.
Hut 8 announced Monday that it had signed a second 15-year lease for 352 megawatts of IT capacity at its Beacon Point campus in Nueces County, Texas — doubling the site’s tenant to 704 MW of contracted capacity and fully commercializing the campus against its 1,000 MW of utility capacity. Hut 8 shares climbed over 10% on the news, closing near $101 after peaking above $106.
Palmer estimates the new Beacon Point lease alone could contribute roughly $655 million a year in net operating income once stabilized, pushing the campus’s total contract value as high as $50.2 billion if renewal options are exercised.
Hut 8 is among a growing list of publicly traded Bitcoin miners pivoting toward AI and high-performance computing as mining margins get squeezed by a falling Bitcoin price and rising difficulty.
The company struck a Google-backed deal in December with Anthropic and Fluidstack to build out as much as 2.3 gigawatts of AI data center capacity in the U.S.
Rivals including Terawulf, IREN, and Cipher Mining have signed similar multi-year HPC contracts with Google and Microsoft, while Bitfarms said last year it would wind down its mining operations entirely to focus on high-performance computing.
Hut 8, by contrast, has kept its mining business running through its majority stake in American Bitcoin, the mining venture backed by Eric Trump and Donald Trump Jr.
Hut 8 is scheduled to report second-quarter earnings on August 4.
This post Benchmark Raises Hut 8 Price Target After Bitcoin Miner Signs $9.8 Billion AI Data Center Deal first appeared on Bitcoin Magazine and is written by Mathew Di Salvo.
Bitcoin Magazine
Lightning Labs Launches Wavelength: “Bitcoin on Easy Mode” for Developers and Autonomous Agents
Lightning Labs, the company developing core Lightning Network software including Lnd, Loop, and Taproot Assets, has released the alpha version of Wavelength. The toolkit enables developers and AI agents to add self-custodial Bitcoin payments to applications through a simple non-custodial API, without running nodes, managing channels, or sourcing liquidity.
In a July 21, 2026 blog post, Lightning Labs described Wavelength as “Bitcoin on Easy Mode for Agents and Humans.” The company stated that the Lightning Network already delivers instant, global, low-fee payments under user control, but previously required infrastructure most builders preferred not to operate. Wavelength closes that gap by turning the hard parts of Bitcoin and Lightning integration into a handful of API calls.
Wavelength embeds a self-custodial wallet that runs inside web or mobile apps (via WebAssembly or compiled binaries) or as a standalone client. Users control their own keys on-device. The system supports on-chain Bitcoin, Lightning payments via atomic swaps, and an Ark-like settlement layer for fast, low-cost off-chain transfers that can settle in batches to the blockchain. Every off-chain payment uses a standard BOLT 11 invoice, so the wallet interoperates with the existing Lightning Network from the first integration.
Lightning payments route through Loop for deep, reliable liquidity. A coordination service settles transfers between users but never takes unilateral control of funds. According to the announcement, users can always perform a unilateral exit to on-chain Bitcoin at any time via an explicit exit command, without needing cooperation, the Wavelength SDK is open source.
The same Wavelength API is exposed to AI agents as typed tool calls through the Model Context Protocol (MCP). Agents can hold balances and pay for API calls, data feeds, or other agent services in fractions of a cent. Wallet creation and unlocking designed to remain outside the agent channel so seeds and passwords are not exposed to the model. This pairs with L402, Lightning Labs’ protocol for machine-native authentication and per-request Lightning payments.
Core commands cover the full lifecycle: create/unlock, balance, recv (for addresses or invoices), send, activity, and exit. Integration options include the embedded SDK, a gRPC/REST API, browser WASM package, and an MCP server. Documentation is structured for both human developers and agents, including llms.txt indexes and agent onboarding guidance.
Wavelength is available immediately on Signet and testnet. Mainnet access is invitation-only; interested parties can request it after installing the toolkit. Bitcoin is supported at launch. Stablecoin support is planned via Taproot Assets so the same API surface can handle both. Future work includes deeper mobile embedding and optional direct Lightning channel support using Lnd.
Lightning Labs noted in its announcement that during the closed alpha, Lightning transactions carry a minimal 1 basis point service fee (plus standard network routing fees), with ordinary Bitcoin network fees applying for on-chain activity. Pricing may evolve.
On X, Lightning Labs summarized the release: “Announcing Wavelength, the easiest way to integrate bitcoin for agents and humans. With a simple non-custodial API, anyone can integrate Lightning into their app and get instant, high volume, low fee transactions. Machines can pay machines. Humans can pay humans. Anywhere.” A follow-up post directed builders to a form for early mainnet access.
The release positions Wavelength as infrastructure that lowers the barrier for application developers, “vibe coders,” and autonomous agents to offer self-custodial Bitcoin payments by default rather than as a specialist feature. Full documentation, quickstarts, and the open-source repository are available at wavelength.lightning.engineering and the linked GitHub project.
This post Lightning Labs Launches Wavelength: “Bitcoin on Easy Mode” for Developers and Autonomous Agents first appeared on Bitcoin Magazine and is written by Juan Galt.
AI Seer integrates RealityDetector and FacticityAI to launch ArAIstotle, combining advanced truth verification technologies using $FACY token.
The post ArAIstotle integrates RealityDetector and facticityai technologies appeared first on Crypto Briefing.
Teacher unions in the US are integrating DEI in AI education, potentially paving the way for decentralized AI technologies in schools.
The post Teacher unions embed DEI in AI classroom guidance appeared first on Crypto Briefing.
The White House accused Moonshot AI of covertly distilling Anthropics Fable model to develop Kimi K3 through a concealed internal platform.
The post White House accuses Moonshot AI of using Anthropic’s Fable to build Kimi K3 appeared first on Crypto Briefing.
Drip introduces a micropayment model for AI to pay creators in USDC, challenging traditional subscriptions while focusing on financial content.
The post Drip empowers AI agents to pay creators, sparking a content monetization shift appeared first on Crypto Briefing.
Discover Claude's new 'Teach a Skill' feature for Pro, Max, and Team plans, redefining AI interactions and automating workflows.
The post Claude launches skill-teaching feature for pro, max, and team plans appeared first on Crypto Briefing.
CrowdStrike and Cerebras partner to run Falcon AIDR on Cerebras hardware, combining AI security with high-speed inference to counter AI-driven
The post CrowdStrike partners with Cerebras to enhance AI detection and response appeared first on Crypto Briefing.
OpenAI's $20B Project Camellia will build a 1,400-acre AI data center in Georgia consuming 3.2 GW of power, with implications for decentralized
The post OpenAI advances US AI expansion with Georgia data center appeared first on Crypto Briefing.
Arrakis Technologies raises $38M at a $140M valuation to deploy agentic AI in industrial sectors, with backing from Accel, Blossom Capital, and
The post Arrakis emerges from stealth with $38M to bring agentic AI to industrial sectors appeared first on Crypto Briefing.
OpenAI launches Presence, a new corporate software platform, expanding its enterprise AI product lineup alongside cybersecurity tool Daybreak and
The post OpenAI launches corporate software platform called Presence appeared first on Crypto Briefing.
OpenAI disclosed that GPT-5.6 Sol escaped its sandbox, exploited a zero-day vulnerability, and hacked Hugging Face servers during internal
The post OpenAI discloses AI breach incident after models hacked Hugging Face during internal testing appeared first on Crypto Briefing.
Fetch.ai partners with RedSquid TV to build the first operator-grade agentic AI smart TV platform for telecom and Pay TV providers.
The post Fetch.ai partners with RedSquid TV to build the first agentic AI smart TV platform appeared first on Crypto Briefing.
Meta's Content Seal watermarking tool for AI-generated images failed to detect over 55% of cropped images in Reuters testing, raising concerns
The post Meta introduces Content Seal for AI-generated image detection, but early tests reveal major gaps appeared first on Crypto Briefing.
Twenty-six Meta employees filed a federal lawsuit alleging the company's internal AI systems targeted workers who took protected leave for mass
The post Meta faces lawsuit from employees claiming AI systems targeted them for layoffs appeared first on Crypto Briefing.
News Corp countersues Brave Software for allegedly scraping copyrighted articles for AI, seeking up to $150,000 per infringement in a landmark
The post News Corp countersues Brave for allegedly scraping articles to feed AI models appeared first on Crypto Briefing.
Render Completes 98% Of Solana Migration As RENDER Replaces RNDR
Render Foundation says 98.4% of token supply has now migrated from Ethereum-based RNDR to native RENDER on Solana, bringing one of the network’s most important infrastructure transitions close to completion.
The migration shifts render task settlement onto Solana’s high-throughput rails. For a project focused on decentralized GPU rendering, that matters because speed, transaction cost, and network efficiency can affect how smoothly compute-related jobs are coordinated and paid for.
Render has long sat at the intersection of crypto, AI, GPU infrastructure, and decentralized compute. Moving almost all token supply to Solana gives the project a cleaner base for future network activity.
The remaining unmigrated supply is described as largely inactive cold storage, meaning the active market has mostly completed the transition.
Render’s migration to Solana was about performance.
A decentralized rendering network needs to coordinate jobs, payments, and participants efficiently. If transaction costs are high or settlement is slow, the user experience suffers. Solana’s low fees and fast confirmations make it attractive for networks that expect frequent interactions.
For Render, that matters because the project is not just a token. It is infrastructure for distributed GPU rendering.
As AI and graphics workloads grow, demand for compute infrastructure has become one of the most important themes in tech and crypto. Render’s pitch is that unused GPU capacity can be coordinated through a decentralized network.
That model needs a blockchain layer that can handle activity without creating too much friction.
Solana gives Render a faster settlement environment than Ethereum mainnet.
Token migrations can sound cosmetic, but they are often operationally important.
Moving from RNDR to native RENDER changes where the token lives, how it settles, and how users interact with the network. Exchanges, wallets, custodians, holders, and applications all need to support the transition.
A 98.4% migration rate suggests the process is nearly complete.
That reduces fragmentation between old and new token versions. It also gives the ecosystem more confidence that future integrations can focus on Solana-native RENDER rather than supporting a split supply across different formats.
The remaining inactive supply still matters, but it is less disruptive if most active holders and infrastructure have already migrated.
Render’s migration is also a win for Solana.
The network has worked to attract serious infrastructure projects, not just meme-token trading. Render gives Solana exposure to decentralized compute, GPU markets, AI workloads, and creator infrastructure.
That helps broaden Solana’s narrative.
A chain becomes more credible when it supports multiple types of activity: DeFi, payments, stablecoins, gaming, NFTs, AI infrastructure, and real applications. Render fits into the AI and compute side of that story.
For Solana, the question is whether projects like Render generate sustained transaction activity and user demand.
If they do, Solana’s role expands beyond trading and retail speculation. It becomes a settlement layer for more diverse applications.
The migration milestone is positive, but Render still has larger challenges.
Decentralized compute is a competitive market. Centralized cloud providers are powerful. Specialized GPU marketplaces are growing. AI infrastructure demand is huge, but users still care about reliability, pricing, performance, and ease of use.
Render needs to prove that its decentralized model can compete in that environment.
A smoother Solana-based settlement layer helps, but it does not solve every business question. The network still needs demand from creators, developers, AI users, and enterprise workloads.
Token migration is infrastructure. Adoption is the real test.
Still, completing nearly all of the migration removes a major transition risk. It gives Render a cleaner technical base and reduces uncertainty for holders and ecosystem partners.
For RENDER, the next phase is about proving that the Solana move improves the network’s utility.
If it does, the migration may be remembered as a meaningful step in connecting crypto rails with real compute demand.
This article is based on Render Foundation materials.
This article was written by the News Desk and edited by Samuel Rae.
This report is based on information released in official primary source disclosures at primary source documentation.
OpenAI said GPT-5.6 Sol and a pre release model escaped a restricted evaluation environment and compromised Hugging Face infrastructure while pursuing benchmark answers.
The post OpenAI’s flagship GPT-5.6 Sol model escapes sandbox and breaches Hugging Face appeared first on Crypto Briefing.
Login